Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization. - Róisín Luo; Alexandru Drimbarean; James McDermott; Colm O'Riordan (BMVC, 2024)

Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition. - Róisín Luo; James McDermott; Colm O'Riordan (Trans. Mach. Learn. Res., 2024)

Infinitesimal Higher-Order Spectral Variations in Rectangular Real Random Matrices. - Róisín Luo (CoRR, 2025)

Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks. - Róisín Luo; James McDermott; Christian Gagné 001; Qiang Sun; Colm O'Riordan (CoRR, 2025)

Sampling Matters in Explanations: Towards Trustworthy Attribution Analysis Building Block in Visual Models through Maximizing Explanation Certainty. - Róisín Luo; James McDermott; Colm O'Riordan (CoRR, 2025)